Good to know: sympy does not use numpy so you can use pypy instead of python.

In my case I got a 7x speedup.

You can however use sympy to convert symbolic expressions to numeric numpy functions, using the "lambdify" feature. It's awesome because it lets you symbolically generate and manipulate a numerical program.

> SymEngine is a standalone fast C++ symbolic manipulation library. Optional thin wrappers allow usage of the library from other languages, e.g.:

> [...] Python wrappers allow easy usage from Python and integration with SymPy and Sage (the symengine.py repository)

https://en.wikipedia.org/wiki/SymPy > Related Projects:

> SymEngine: a rewriting of SymPy's core in C++, in order to increase its performance. Work is currently in progress to make SymEngine the underlying engine of Sage too